New web terminology interface

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Babeling, a French terminology engineering software developer, has just released Motilus, an interface to multi-database term queries over the web. Or as Babeling puts it:

Motilus is a unique interrogation engine software of monolingual and multilingual terminology resources and dictionaries available on the Internet. Its innovation is its ability to select and query, simultaneously, relevant dictionaries and terminology resources in a particular language combination in seconds. With both single-user or network (intranet, extranet) applications, Motilus’ high processing speed and user-friendly, attractive design set it apart.

Motilus’ originality is to spare the user from painstaking research and repeated querying of the lexicographical and terminological resources, by selecting, for each resource, the source language, the target language(s), and other possible criteria as well as typing in the searched for word. With Motilus, the user selects once: the source language, target language, and types in the word. With one click he/she will obtain a comprehensive list of resources containing the word. On clicking again, the content of the chosen resource will be brought up: the words found as a result of the search, their definitions, their translations etc.

Was the company aware of an English near-homonym of its corporate name? The product sounds useful, but I found it hard to get my head around the website blurb and services.

MT = mobile translation in Singapore

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GistXL, an English (or Singlish) to Simplified Chinese SMS translation platform embedded in SingTel’s Singapore network, won a Merit Award in the recent Singapore National Infocomm Awards held last week. According to The Straits Times:

GistXL lays claim to be one of the first (free translation systems) in the world to build artificial intelligence into the system. This means, while other “rule-based” systems match an English word to a Chinese one, GistXL sieves through its database – within a fifth of a second – to draw links and contexts between words and phrases.

To be picky, perhaps they meant ‘draw links between words and their context” or “contextualize words in phrases” rather than actually “draw contexts”. And it’s a pity to trot out the old AI saw again. The system is presumably what MT folks call ‘data driven’. According to their blurb, GistXL plans to scale up to 18 languages by the end of 2005.

Clearly, the stripped-down expressive forms (aka controlled language) found in text messaging, together with the platform constraints on volume (GisXL will do a around 25 words per translation) are proving to be a fruitful field for commercial language engineers. It would interesting to know in detail how standardized actual SMS messages are becoming in the various linguistic sub-groups that use them. GistXL for example is focused on the specifics of Singlish (Singapore English), as filtered through the space and typing constraints of SMS. As it happnes, Singaporeans can be pretty good at inputting ‘standard’ English too. In June this year, a student called Kimberly Yeo, broke the world record by typing 26 words into his cell phone in 43.24 seconds. At that rate, he could send 83 messages (or 2,165 words) an hour. A golden egg for his telecoms supplier.

It’s all just metadata

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A think piece on why all data is becoming metadata, from DavidWeinburger

There used to be a difference between data and metadata. Data was the suitcase and metadata was the name tag on it. Data was the folder and metadata was its label. Data was the contents of the book and metadata was the Dewey Decimal number on its spine. But, in the Third Age of Order (see the previous issue), everything is becoming metadata.

For example, imagine you’re at a large corporation doing a Third Order treatment of its digital library of research articles. Instead of (or, in addition to) designing a large, complex, hierarchical taxonomy, you focus on adding enough metadata to each article so that people will be able to sort and classify them any which way they want. If someone wants to find all the articles that talk about hydrocarbons written in Italian in 1965 and that have more than 30 footnotes, they’ll be able to. If someone wants to make a browsable hierarchy based not on topic but on gender or on the number of co-authors, they’ll be able to. You build enriched objects first so your users can forever after taxonomize the way they want to, instead of the way you think they’ll want to.

Now take a closer look at these information objects. They look like contents tagged with lots of metadata, but in fact they’re all metadata. If I’m looking for an article about hydrocarbons written by Barbara Rodriguez, then the article’s topic (“hydrocarbons”) and author’s name (“Rodriguez, Barbara”) are metadata, and the content is the data. But, I could just as well be trying to remember the name of the author who wrote an article that included the phrase “Hydrocarbons are the burros of the the cosmos” sometime in the 1960s, in which case the content and date are metadata and the author’s name is the data. What’s data and what’s metadata depends on the person doing the asking.

So, in the Third Age of Order, all data is metadata. Contents are labels. Data is all surface and no insides. It’s all handles and no suitcase. It’s a folder whose content is just another label. It’s all sticker and no bumper.

Why does this matter? It changes the primary job of information architects. It makes stores of information more useful to users. It enables research that otherwise would be difficult, thus making our culture smarter overall. But, most interestingly (at least to me), this does the ol’ Einsteinian reverse flip to Aristotle. Aristotle assumed that of the 10 categories by which one could understand a thing, one must be primary: Where that thing fits into the tree of knowledge. So, you could say that Alcibiades is made of flesh or lived in Greece, but if you really want to understand him, you have to say that he is an animal of a particular kind. But, now that everything is metadata, no particular way of understanding something is any more inherently valuable than any other; it all depends on what you’re trying to do. The old framework of knowledge — and authority — are getting a pretty good shake.

Lex dura

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The Japanese justice system is undergoing wide-ranging reform. The Office for Promotion of Justice System Reform working within the Cabinet has just today expressed an “urgent need for an efficient and systematic mechanism to translate Japanese legislation into foreign languages in response to calls from lawyers and businesspeople.” The communiqué goes on:

Despite Japan being the world’s second-largest economy, the government has no unified system (sic) to translate Japanese laws into English and other languages. Some major laws have been translated by related ministries or the private sector, but the quality of the translation is often poor and terminology varies.

The group under the Office for Promotion of Justice System Reform of the Prime Minister’s Office suggests that government-led translation of the laws is necessary to facilitate international trade and promote foreign investment in Japan, as well as to assist foreign residents in the country.

“It has long been a big problem that Japanese laws have not been translated coherently and systematically,” said Noboru Kashiwagi, a professor of law at Tokyo’s Chuo University and a member of the group. “Today marks the first step and it is very meaningful.”

The proposal also advises utilizing a computerized system developed by Nagoya University, which includes an electronic dictionary and a database of past translations. But the group has yet to reveal an estimated cost for the project.

It remains undecided whether the task should be taken up solely by the government, to be commissioned to the private sector, or to be done by establishing a new quasi-governmental organization. But the group is envisioning a public-private collaboration.

Now, would it be worth while suggesting to Japan that they check on how the European Union has handled a similar problem – the translation of Community law into local Member State languages as part of membership commitment? Probably not. As far as I know, there is no ’systematic mechanism’ or ‘unified system’ in place to help EU translators through the immense task of localizing the canonical 85,000 pages of EU law. In the past, though, this very process has largely contributed to the development of a translation ‘culture’ in countries such as Denmark, Sweden, Finland and Greece, and has usually been handled via government contracts to legal translators, working in groups.

Since this translation work is ruled by the subsidiarity principle, it is up to each country (rather than a central agency) to get the job done. The exceptional nature of the EU situation lies precisely in having a Member State translate and integrate EU legislation into its own national law and language. Almost by definition, nations normally draft their own laws, rather than localize someone else’s. And here lies the rub: the process involves translators, lawyers, revisers, and anyone else working to ensure that the resulting texts are legally watertight, and optimally adapted to the local context. A hard process to automate as a unified system, but worth attempting surely. EU legal translation is, if you like, inward bound, exclusively for the use of the new Member State.

In the case of Japan, however, it looks as if the translation is outward bound to the world at large. Yet presumably the proposed ‘English’ translation of Japanese law has to use English terms from somewhere – the U.S., Canada, the U.K., Australia etc, and is therefore implicitly localizing to a legal culture, if not a specific country. For an example of the translation of the Arbitration Law, see here.

The patent lack of systematic mechanisms or unified systems for localizing EU law was brought home to me the other day by a report in Eurolang, the news site for Lesser Used Languages in Europe, which proudly stated that Slovenia, one of the newest members of the EU, has developed some ‘computer-based translation tools’ to help in its EU translation effort. What Slovenia has actually done is to develop “a collection of 62,000 technical-term equivalents, called Evroterm (using Trados’ Multiterm), and a bilingual (English-Slovenian) aligned corpus of translations of legal acts by the EU, called Evrokorpus (currently 8.7 million words). You can access them at (SVEZ) website. But I would call these ‘digital resources’ rather than tools.

What is astonishing to me is that this should be news. Why is it that after a decade of European Commission language technology R&D programs, some with multi-million euro funding, we have no better technology to handle these fundamental translation tasks than a term management system first built in the late 1980s and standard corpus (or translation memory) software? I’m sure that the experience of other Member State translation efforts has propagated some form of best practice for localizing Lex europae. I am equally sure that the reason why that there is no rich corpus of bilingual translations in the newer EU countries to feed translation memories and help automate some of the slog, is because national legal content has typically not needed to be translated.

But looking back, it seems a singular error for EC technology czars to have failed to fund innovative projects (even if they proved inadequate) to this critical EU task. They might just have come up with a more “unified system” (e.g. a set of legal ontologies to drive a translation engine) to help new Members get this job done quicker, better, cheaper. And they might have been able to promote it to the Japanese to help with their legal translation projects. Come to think of it, the Japanese too sunk trillions of yen in 5th Generation computing, producing electronic dictionaries, machine translation systems, knowledge bases and so on. All to no apparent avail. Lex dura indeed, sed lex – and highly lexical with it.

Cool typing trivia

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Excessive verbiage typed into a chat room or IMS could suggest you’re lying. A report from Cornell University has found that monologuing liars

“talk too much, use more pronouns about others and use more terms about the senses, such as “see,” “hear” and “feel,” than people telling the truth, according to a new study by Cornell communication experts.

“Our study suggests that people who are lying to another person in a chat room or in instant messaging use approximately one-third more words, probably in their attempt to construct a more cohesive and detailed story in order to seem believable,” said Jeff Hancock, assistant professor of communication in the College of Agriculture and Life Sciences (CALS).”

On the other hand, if the ambient temperature isn’t warm enough in your office, you tnde to ùmake more typring mishtakes. Simson Garfinkel blogs yet another Cornell report :

“When the office temperature in a month-long study increased from 68 to 77 degrees Fahrenheit, typing errors fell by 44 percent and typing output jumped 150 percent. Hedge’s study was exploring the link between changes in the physical environment and work performance.

“The results of our study also suggest raising the temperature to a more comfortable thermal zone saves employers about $2 per worker, per hour,” says Hedge, who presented his findings this summer at the 2004 Eastern Ergonomics Conference and Exposition in New York City.

In other words, a chatroom liar in a cold room will type more and with more errors, than their truth-telling counterpart in a warm room. True or flase?

The Iliad a public hit in Italy

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Alessandro Barrico, the Italian translator of Homer, has outperformed The Da Vinci Code in sales in Italy with his new Italian version of the Iliad, published by Feltrinelli.

Enthusiasm for the book has led to public readings, starting 2,600 people listening for 12 hours a night for three nights to the spoken translation in Rome. On October 8, the book’s 20,000 or so lines were read in relays by people from different backgrounds in Verona for 24 hours. A new. The next step in this mass vote for the old bard and his martial themes could be to memorize the whole thing.

It wouldn’t be the first time some one has tried, though. Although it’s hard to find out much about it, a retired U.S. businessman called Steven V.N. Powelson decided to memorize the whole Iliad, and was able to perform vast chunks of it around 1994. This meant getting your personal Mnemosyne to get its aural archive around some 200,000 spoken syllables. Powelson took 16 years, working about an hour a day (making a total of 5,840 hours) as befits a 76 year old. He apparently used to recite it as part of a national tour to promote the classics, but I cannot discover whether he ever stood up like Italy’s war-scarred public (Iraq not Troy) and performed the whole thing from beginning to end. For a weird commentary on the ‘autoerotics’ of memorizing poems see this

Here’s how Barrico summarized his motivations:

Quando racconto questo lavoro, spesso la gente mi chiede: perché proprio l’Iliade? Alcuni vorrebbero l’Odissea (che io non amo, tranne il finale), o magari Dante o Ariosto. Ho due risposte: la prima è che l’Iliade mi sembra una storia bellissima. La seconda è che godere del racconto di una guerra mi sembra una cura efficace per allontanare il desiderio (tragico ma legittimo) di godere facendo la guerra.

Project to boost cross-lingual document interoperability

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Thanks to Gary Price for this report on a European Commission/NSF project on “Quality of Service and Legitimacy in eGovernment,” a multi-institution initiative to improve the delivery of government services.

QUALEG brings together US (Eduard Hovy) and Israeli (Avigdor Gal) researchers to work on coordinating government type documents between Poland, France and Germany. In addition to four languages (including English), the project also has to handle different legacy software as well. The project will first create a semantically sensitive ontology.

“In the context of Digital Government, ontologies play an increasingly important role, as database metadata schemas, terminology standardization structures and the foundation for interfaces between applications,” says Eduard Hovy. “Yet the complexity and cost of building ontologies remains a daunting challenge.”

The researchers will use a “clustering” approach. In clustering, the machine is taught to understand relationships by word occurrence: glass, paperweight, perfume bottle versus glass, windshield, rearview mirror. One starts with “topic signatures” – a set of words for each category that are weighted by relevance to that topic. Using this system, accuracy can go as high as 75%, depending on how clear and distinct the topics are, says Hovy.

The process still requires some human intervention, at least in its initial stages. “Clustering has been used since the 60’s,” says Hovy, “But it’s never been very accurate by itself. If you give it additional help, it can be.”

QUALEG at this phase is a pilot program that it is hoped can be extended throughout Europe. But Hovy’s and Gal’s work is equally ambitious – it could lay the groundwork for an “ontology service bureau,” where those charged with database creation could have that initial painstaking step performed. If not fully automated, such a system could at least eliminate much of the individual time and effort that goes into ontology creation.

Opening Up Africa

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Check this IDG article on OpenOffice.org localization for three South African languages – Zulu, Afrikaans and Sepedi, plus information on Microsoft’s Kiswahili Local Language Program. The MS initiative also draws on local community contributions to produce a glossary of around 3,000 IT terms in the language.

Localizing web domain names

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For internationalization engineers, an interesting paper by John C. Klensin, former Vice President of Internet Architecture at AT&T, a Distinguished Engineering Fellow at MCI WorldCom, and Principal Research Scientist at MIT, on “Internationalizing Top-Level Domain Names: Another Look”.

Small sample (TLD = top level domain) :

“…the presentation and interpretation of strings being used in email addresses, web locators, and other references is largely up to the user interface software and need be only loosely coupled with the protocols used over the network. It is still important to have some standardization of the forms of the strings (as presented) in order that users be able to share them with each other independent of their software environment. That issue is just an instance of a classic set of tradeoffs about optimizing interfaces. For example, assuming that either can be made to “work”, optimizing an interface for a particular homogeneous group of users makes that interface less convenient for others, while designing the same interface for international use tends to make it more or less compatible with everyone but not optimal for anyone. This is the reason why it has also been observed that, at the user interface level, no one wants internationalization: internationalization is only a useful tool for constructing versions of interfaces that localized to local language, script, and cultural habits.

In a localization model in which browsers, mail user agents, and other applications software are tailored to the needs and preferences of the local user, another solution emerges to the multilingual TLD requirement. That solution is to translate or map TLD names locally, rather than trying to make language-specific names global, and is described in the next section.”